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Analysis goes a step beyond that, to the organization; organizations depend on the systematic decomposition of activities, and that's what analysis is all about.
A systematic decomposition method for designing the corresponding architectures is currently lacking.
For each network dimension, CORM factors the design space into function, structure, and behavior, applying to each the principle of separation of concerns for further systematic decomposition.
We obtain, using a statistical criterion, an optimal systematic decomposition of the conformational variability of the protein peptidic chain in 27 states with strong connection logic.
Systematic decomposition and evaluation of existing sensor systems as well as the optimal design of future generations of direct push probes are of high importance for optimized geophysical experiments since the employed equipment is a constrain on the data space.
This general-purpose method provides a new, systematic decomposition of the influences on travel outcomes, where the effects of each variable can be examined in turn with robust error terms.
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The approach generates the whole set of optimal solutions compared to the one point solution of the deterministic approaches (MINLP) while allowing additional complexity of process level models in the site-wide integration due to the systematic structural decomposition of a system into its basic elements/subsystems.
The main features of Adora that distinguish it from other approaches like UML are the use of abstract objects (instead of classes) as the basis of the model, a systematic hierarchical decomposition of the modeled system and the integration of all aspects of the system in one coherent model.
Evolving from graph theory, this methodology devises a mechanism for systematic structural decomposition of large-scale industrial systems into basic processing elements (paths and trees), combination of elements into subsystems and evaluation of individual elements/subsystems to correlate with the overall system margin.
This is done using a systematic path flow decomposition (PFD) method, multidimensional process assessment indicators, heuristics, and model based methodologies for generation of inherently safer design alternatives.
In this paper, we present a systematic tensor-train decomposition for nearest-neighbor interaction systems which is applicable to a host of different problems.
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